"""
演示全国疫情可视化地图开发
"""

import json
from pyecharts.charts import Map
from pyecharts.options import *

# 读取数据文件
f=open("D:/桌面/js/资料/第1-12章资料/资料/可视化案例数据/地图数据/疫情.txt","r",encoding="UTF-8")
data=f.read()   # 全局数据
# 关闭文件
f.close()
# 取到各省数据
# 将字符串json转字典
data_dict=json.loads(data)      # 基础数据字典
# 从字典中取出省份数据
province_data_list=data_dict["areaTree"][0]["children"]
# 组装每个省份和确诊人数为元组，并各个省的数据都封装入列表内
data_list=[]    # 绘图需要的数据列表
for province_data in province_data_list:
    province_name=province_data["name"]         # 省份名称
    province_confirm=province_data["total"]["confirm"]      # 确诊人数
    data_list.append((province_name,province_confirm))

print(data_list)

# 创建地图对象
map=Map()
# 添加数据
map.add("各省确诊人数",data_list,"china")
# 设置全局配置，定制分段视觉映射
map.set_global_opts(
    title_opts=TitleOpts(title="全国疫情地图"),
    visualmap_opts=VisualMapOpts(
        is_show=True,           #是否显示
        is_piecewise=True,      # 是否分段
        pieces=[
            {"min":1,"max":99,"label":"1-99人","color":"#CCFFFF"},
            {"min":100,"max":999,"label":"100-999人","color":"#FFFF99"},
            {"min":1000,"max":4999,"label":"1000-4999人","color":"#FF9966"},
            {"min":5000,"max":9999,"label":"5000-9999人","color":"#FF6666"},
            {"min":10000,"max":99999,"label":"10000-99999人","color":"#CC3333"},
            {"min":100000,"label":"100000+人","color":"#990033"}
        ]
    )
)

# 绘图
map.render("全国疫情地图.html")